摘要
说话人识别技术以其方便、经济和易于被接受等特点日益成为人们生活和工作中重要且普及的用户身份验证方式,但是在嵌入式领域的应用中,现有算法难以很好地满足实时性的要求。该文研究了应用于语音识别的非线性分块算法,将其思想加以改进,以逐块对比的识别方式用于嵌入式的文本相关说话人识别,与传统的基于动态时间弯折的方法相比,在实时性方面取得了良好的实用效果。
The speaker recognition technology is an important and popular user authentication method in daily life due to its convenience,economy,and easy-to-acceptance.However the current algorithms cannot meet the real-time requirements in embedded applications.Based on the Non-Linear Partition（NLP） algorithms used in speech recognition,a novel algorithm is proposed and applied to the embedded Text-Dependent Speaker Recognition.Compared with the traditional Dynamic Time Warping（DTW） based algorithms,it achieves a good practical result in terms of real time performance.
出处
《中文信息学报》
CSCD
北大核心
2010年第6期64-68,共5页
Journal of Chinese Information Processing
关键词
说话人识别
文本相关
嵌入式
非线性分块
speaker recognition
Text-Dependent
embedded application
Non-Linear Partition
